Triple
T964480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L. L. Zamenhof |
E20807
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lejzer
Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
|
E114626
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lejzer | Statement: [L. L. Zamenhof, givenName, Lejzer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lejzer Context triple: [L. L. Zamenhof, givenName, Lejzer]
-
A.
Ignacy
Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
-
B.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
-
C.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
-
D.
Stanislaw
Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
-
E.
Szaflary
Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lejzer Triple: [L. L. Zamenhof, givenName, Lejzer]
Generated description
Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lejzer Target entity description: Lejzer is the given name of L. L. Zamenhof, the Polish-Jewish ophthalmologist and linguist who created the international auxiliary language Esperanto.
-
A.
Ignacy
Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
-
B.
Jastarnia
Jastarnia is a seaside resort town and fishing port on Poland’s Baltic coast, popular for its beaches and water sports.
-
C.
Kazimierz
Kazimierz is a historic district of Kraków known for its rich Jewish heritage, medieval architecture, and vibrant cultural life.
-
D.
Stanislaw
Stanislaw is a masculine given name of Slavic origin, most notably borne by the Polish-American mathematician Stanislaw Ulam.
-
E.
Szaflary
Szaflary is a village in southern Poland’s Podhale region, known for its geothermal hot springs and traditional highland culture.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4303e5881909d101d11f9732c75 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac17034cf48190bca513891cfcc444 |
completed | March 7, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_69ac179226dc8190b47d312c78745ada |
completed | March 7, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac1844acec81909859605d2421a588 |
completed | March 7, 2026, 12:21 p.m. |
Created at: March 1, 2026, 7:40 p.m.